Publication Date

Multi-Agent Decentralized Planning for Adversarial Robotic Teams

Objective of this work is to allow one person to command an entire swarm of UAS to do mission-level tasks

Publisher: Software Engineering Institute

Abstract

To meet the challenge of distributed autonomy in real-world robotics, we have created decentralized, multi-agent planning techniques, middleware, and algorithms that take into account a potentially changing adversary model in both simulations and real-world demonstrations with robotic unmanned surface vehicles.